Knowledge-Based AI: Cognitive Systems
About this Course
This class is offered as CS7637 at Georgia Tech where it is a part of the Online Masters Degree (OMS). Taking this course here will not earn credit towards the OMS degree.
This is a core course in artificial intelligence. It is designed to be a challenging course, involving significant independent work, readings, assignments, and projects. It covers structured knowledge representations, as well as knowledge-based methods of problem …
Knowledge-Based AI: Cognitive Systems
About this Course
This class is offered as CS7637 at Georgia Tech where it is a part of the Online Masters Degree (OMS). Taking this course here will not earn credit towards the OMS degree.
This is a core course in artificial intelligence. It is designed to be a challenging course, involving significant independent work, readings, assignments, and projects. It covers structured knowledge representations, as well as knowledge-based methods of problem solving, planning, decision-making, and learning.
The class is organized around three primary learning goals. First, this class teaches the concepts, methods, and prominent issues in knowledge-based artificial intelligence. Second, it teaches the specific skills and abilities needed to apply those concepts to the design of knowledge-based AI agents. Third, it teaches the relationship between knowledge-based artificial intelligence and the study of human cognition.
The twin goals of knowledge-based artificial intelligence (AI) are to build AI agents capable of human-level intelligence and gain insights into human cognition.
[
At the conclusion of this class, you will be able to accomplish three primary tasks. First, you will be able to design and implement a knowledge-based artificial intelligence agent that can address a complex task using the methods discussed in the course. Second, you will be able to use this agent to reflect on the process of human cognition. Third, you will be able to use both these practices to address practical problems in multiple domains.
]
lesson 1
Introduction to KBAI and Cognitive Systems
Where Knowledge-Based AI fits into AI as a whole
Cognitive systems: what are they?
AI and cognition: how are they connected?
lesson 2
Fundamentals
Semantic Networks
Generate & Test
Means-Ends Analysis
Problem Reduction
Production Systems
lesson 3
Common Sense Reasoning
Frames
Understanding
Common Sense Reasoning
Scripts
lesson 4
Planning
Logic
Planning
lesson 5
Learning
Learning by Recording Cases
Incremental Concept Learning
Classification
Version Spaces & Discrimination Trees
lesson 6
Analogical Reasoning
Case-Based Reasoning
Explanation-Based Learning
Analogical Reasoning
lesson 7
Visuospatial Reasoning
Constraint Propagation
Visuospatial Reasoning
lesson 8
Design & Creativity
Configuration
Diagnosis
Design
Creativity
lesson 9
Metacognition
Learning by Correcting Mistakes
Meta-Reasoning
AI Ethics
